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    Job details

Research adjunct in Epidemiology and Health Data Sciences:

Job description:

Job location: Oxford
income: £32,332 to £38,205 p.a. Grade 6
Hours: Full Time
Contract Type: Fixed-Term/Contract

Published in: 18th April 2024
Closing date: 10th May 2024
Reference: 172311

 

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
We have a great opportunity for a Research adjunct in Epidemiology and Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the avoidance and treatment of human disease in 'real world' (routine practice) conditions.
As a Research adjunct in Epidemiology and Health Data Sciences you will support the analysis and management for studies on our portfolio using routinely collected data mapped to the OMOP Common Data Model. You will contribute to the development of study documentation for our studies, you will use R packages to run a number of pre-specified analyses and you will conduct and support research activities located on your significant skills area. You will contribute to publications, scientific reports and journal articles as well as the presentation of data/papers at conferences and other scientific meetings.
You will hold a significant post-graduate degree in Epidemiology or a related field together with practice in biostatistics and/or health data sciences. practice in programming statistical analyses, preferably in R and practice in writing scientific documents, e.g. study reports, manuscripts are essential. As are capability to work within multi-disciplinary teams and independently, good communication skills and excellent team working skills. practice in the analysis or interpretation of OMOP-mapped data, practice in working with electronic medical records/routinely collected/real world data and practice in generating phenotypes are desirable.
This is a full-time fixed-term appointment for 2 years.
The closing date for this position is 12 noon on 10 May 2024. You will be required to upload a CV and supporting statement as part of your online application.

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Salary: Unspecified
Degree: Unspecified
Experience (year): Unspecified
Job Location: Oxford, Oxfordshire England
Address: Oxfordshire
Company Type Employer
Post Date: 04/18/2024 / Viewed 1 times
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